Normal (non-template) jobs in Azure DevOps yaml support inter-job variable passing as follows:
jobs:
- job: A
steps:
- script: "echo ##vso[task.setvariable variable=skipsubsequent;isOutput=true]false"
name: printvar
- job: B
condition: and(succeeded(), ne(dependencies.A.outputs['printvar.skipsubsequent'], 'true'))
dependsOn: A
steps:
- script: echo hello from B
How do I do something similar in the following, given that templates don't support the dependsOn
syntax? I need to get an output from the first template and pass it as 'environmentSlice' to the second template.
- stage: Deploy
displayName: Deploy stage
jobs:
- template: build-templates/get-environment-slice.yml@templates
parameters:
configFileLocation: 'config/config.json'
- template: build-templates/node-app-deploy.yml@templates
parameters:
# Build agent VM image name
vmImageName: $(Common.BuildVmImage)
environmentPrefix: 'Dev'
environmentSlice: '-$(dependencies.GetEnvironmentSlice.outputs['getEnvironmentSlice.environmentSlice'])'
The reason I want the separation between the two templates is the second one is a deployment template and I would like input from the first template in naming the environment in the second template. I.e. initial part of node-app-deploy.yml (2nd template) is:
jobs:
- deployment: Deploy
displayName: Deploy
# Because we use the environmentSlice to name the environment, we have to have it passed in rather than
# extracting it from the config file in steps below
environment: ${{ parameters.environmentPrefix }}${{ parameters.environmentSlice }}
Update:
The accepted solution does allow you to pass variables between separate templates, but won't work for my particular use case. I wanted to be able to name the 'environment' section of the 2nd template dynamically, i.e. environment: ${{ parameters.environmentPrefix }}${{ parameters.environmentSlice }}
, but this can only be named statically since templates are compiled on pipeline startup.
The downside of the solution is that it introduces a hidden coupling between the templates. I would have preferred the calling pipeline to orchestrate the parameter passing between templates.